International Conference on Sustainable AI

Call for Papers

A sustainable society is driven by the principle of realizing peace and prosperity for all people and the planet with an inclusiveness that “leaves no one behind.” This conference takes paper submissions on research and development of ML techniques in the context of sustainable societies. International conference on machine learning for society can encompass a wide range of topics and tracks that address the societal impact and applications of machine learning Topics may include, but are not limited to.

Publication and Indexing:

It is planned to publish the proceedings with Springer series (final approval pending)

Track 1: Ethics and Fairness in Machine Learning:

Fairness and bias in machine learning algorithms
Ethical considerations in data collection and usage
Responsible AI and machine learning practices
Algorithmic transparency and interpretability

Track 2: Machine learning for Social Good:

Healthcare applications of machine learning
Environmental sustainability and conservation
Poverty alleviation and social welfare
Disaster response and recovery

Track 3: Machine learning for Education and Outreach:

Machine learning in education and skill development
Public awareness and education on AI and ML
Outreach programs for underrepresented communities
Promoting diversity and inclusion in AI/ML fields

Track 4: Machine learning for Privacy and Security:

Data privacy and protection in machine learning
Secure machine learning models and deployment
Adversarial attacks and defences
Privacy-preserving machine learning techniques

Track 5: Machine learning for Natural Language Processing for Society:

Machine translation and cross-lingual communication
Sentiment analysis and emotion detection
Fake news detection and information verification
Language models for accessibility and inclusivity

Track 6: Machine learning for Healthcare and Biomedical Applications:

Medical image analysis and diagnosis
Drug discovery and personalized medicine
Predictive analytics in healthcare
Monitoring and improving healthcare delivery

Track 7: Machine Learning for Education:

Personalized learning and recommendation systems
Educational data mining and learning analytics
Adaptive assessment and grading systems
Educational technology and AI-enhanced classrooms

Track 8: Machine learning for Social and Economic Impact:

Labor market effects of automation and AI
Economic implications of AI adoption
AI in government and public policy
Social and cultural impacts of AI/ML

Track 9: Machine learning in Agriculture and Food Security:

Precision agriculture and crop management
Food quality and safety monitoring
Supply chain optimization
Pest and disease detection

Track 10: Machine Learning in Urban Planning:

Smart city applications and infrastructure
Traffic management and transportation optimization
Energy efficiency and sustainable urban development
Crime prediction and public safety

Track 11: Machine learning for Humanitarian Aid and Crisis Response:

Disaster management and relief efforts
Refugee support and displacement## tracking
Humanitarian logistics and resource allocation
Conflict resolution and peacekeeping

Track 12: Machine learning in Arts & Culture:

Creative AI and generative art
Cultural preservation and heritage digitization
AI-enhanced entertainment and storytelling
Music and performance AI applications

Submission

Information and Guidelines for Authors:

Papers are expected to be within the 8-15 page range. The review process takes into account both the quality in writing and the scientific impact of the work. Authors should clearly identify the problem, their contribution(s), justification with respect to the state-of-the-art works

Initial Submission and Evaluation:

The manuscripts for initial submission should be submitted in a single. Doc or .PDF format file.
Authors are instructed not to include name and affiliation details in the paper as conference follows single blind review process.
All papers will be assigned a paper ID. You will receive this ID after you have completed the paper submission process. Authors are then required to use the paper ID assigned to them for all future correspondence regarding this paper.
The manuscripts initially will be checked for PLAGIARISM followed by single blind review process.
All papers that confirm to submission guidelines will be peer-reviewed by at least two independent referees from the Conference Review Board and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability.
IMPORTANT NOTE: Authors must obtain permissions from the previous publisher(s) for any material (text, figures, tables etc.) they want to reuse, and submit the same with paper.

Acceptance of Papers:

Based the decisions given by our reviewers the decision of paper acceptance/rejection will be communicated authors through email.
The authors of the accepted papers will be allowed to make corrections in accordance with the suggestions of the reviewers and submit final camera-ready papers within the stipulated deadline.

Final Submission of papers:

Each accepted final paper must be accompanied by the dully filled in copyright form called Consent to Publish (CTP), which we ask a corresponding author to complete and sign. The final submission should be prepared as a separate zipped file as mentioned below.
All final submissions should be in a .zip compressed archive including:

The source (input) files, i.e. TeX source files for the text and figure files (300 dpi resolution),
Any style files, templates, and special fonts the authors may have used,
MS Word file in the case of using MS Word,
The final Postscript (.ps) or Adobe Acrobat (.pdf) file,
The dully filled and signed copyright form.

Author Guidelines For Conference Proceedings

Sample Article For Submission

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Committee

Chief Patron

Sri. N. Subash, President, CBIT (Autonomous)

Patron

Prof. C.V. Narasimhulu, Principal, CBIT (Autonomous)

Head of the Department

Prof. R. Madana Mohana, Professor

Convener

Dr. Prabhakar Kandukuri, Professor

Co-Convener

Dr. Garlapati Narayana, Associate Professor

Coordinators

Mr. Medikonda Asha Kiran, Assistant Professor

Mrs. G. Kavita, Assistant Professor

Mrs. Shastrula Pallavi, Assistant Professor

Advisory Committee

Prof. Umakanta Choudhary, Advisor I & I, CBIT (A)

Prof. Sarma A.D, Advisor, R&D, CBIT (A)

Prof. N. L. N. Reddy, Advisor, CDC,, CBIT (A)

Prof. P. Ravinder Reddy, Director & Head, R&E Hub, CBIT (A)

Prof. Suresh Pabboju, Director AEC & COE, CBIT (A)

Prof. M. Sushanth Babu, Director, Academics, CBIT (A)

Prof. N. T. Rao Director IQAC, CBIT (A)

Prof. P. V. R. Ravindra Reddy, Director Student Affairs, CBIT (A)

Organising Committee

Dr. Y. Rama Devi, Professor

Dr. J. Manoranjini, Associate Professor

Mrs. K. Mary Sudha Rani, Assistant Professor

Mrs. D. Naga Jyothi, Assistant Professor

Mrs. Ramya Thavva, Assistant Professor

Mrs. Gadicherla Sirisha, Assistant Professor

Mr. M. Sathyanarayana, Assistant Professor

Mr. R. Anand Raj, Asst. Programmer

Mr. G. Siddhartha, Computer Operator

Mr. N. D. Ramesh, Jr. Assistant

Venue

Chaitanya Bharathi Institute of Technology

CHAITANYA BHARATHI INSTITUTE OF TECHNOLOGY, established in the Year 1979, esteemed as the Premier Engineering Institute in the States of Telangana and Andhra Pradesh, was promoted by a Group of Visionaries from varied Professions of Engineering, Medical, Legal and Management, with an Objective to facilitate the Best Engineering and Management Education to the Students and contribute towards meeting the need of Skilled and Technically conversant Engineers and Management Professionals, for the Country that embarked on an Economic Growth Plan.

The Institute, committed to Education and Innovation, started with three-Degree Courses in Engineering for 200 Students and over the 45 Years, has emerged as a Dream Destination for; Students seeking to excel in Engineering and Management Education, Teaching Community to progress with a rewarding Career and Corporates to source well-rounded Engineers.